Professional Summary
Doctoral researcher and Human-AI Interaction Engineer at Morgan State University, specializing in machine learning and Large Language Models (LLMs). Developed multiple LLM-powered applications, including adaptive academic advisor systems fine-tuned with Human Feedback Reinforcement Learning (HFRL) for personalized guidance. At the Data Engineering and Predictive Analytics (DEPA) lab, I focus on building scalable AI solutions that bridge NLP and human-centered design. My current work integrates real-time sensor networks and machine learning pipelines for landslide prediction. My research advances Human-AI collaboration, emphasizing practical AI applications for education, safety, and environmental risk management.
EXPERIENCE
05/2025- Current
Research Intern – Landslide Risk Monitoring & ML P
University Transportation Center | Pittsburg, PA
- Installing geotechnical and environmental sensors (moisture, rain gauge,
water pressure transducers, wind speed, LiDAR) at a real-world highway
site to enable real-time landslide risk monitoring. - Developing a Python-based machine learning pipeline integrating
real-time sensor data with ML models for early landslide detection and
forecasting. - Processing 3D terrain data from the Realsee Galois M2 LiDAR camera,
converting point clouds (PLY/E57) for slope deformation analysis and
model training using Open3D and PyTorch.
09/2023 - Current
Research Assistant
Data Engineering and Predictive Analytics (DEPA) Research lab | Baltimore, USA
- Developed multi-step agentic applications using Large Language Models
(LLMs) to create personalized academic advisor systems for educational
institutions. Utilized Human Feedback Reinforcement Learning (HFRL) to
iteratively fine-tune GPT models, incorporating user preferences and
interaction data to optimize alignment and response relevance. Focused on
enhancing adaptability and contextual accuracy based on individual
academic and career profiles. - Utilizing Large Language Models (LLMs) alongside time series analysis
techniques to detect and analyze anomalous patterns in system behavior,
enabling early identification of malicious activities and enhancing
cybersecurity threat response. - Worked as a TA (Teacher Assistant) with my research advisor, Dr. Kofi
Nyarko, for the course ‘Machine Learning Applications’ (EEGR 565).
05/2024 - 07/2024
Graduate Mentor
CEAMLS Summer AI Research Institute | Baltimore, MD
- Mentored and supported a team of diverse undergraduate scholars from different fields.
- Provided expertise in leveraging OpenCV, YOLO, and Ultralytics to detect key traffic violations, such as jaywalking and red-light running, improving the accuracy and scalability of the solution.
- Supervised the SQL database architecture to store, manage, and query video data.
- Assisted in the preparation of graduate students for professional conferences and presentations.
03/2019 - 08/2021
Supply Chain Analyst
Navana LPG LTD | Dhaka, Bangladesh Supply Chain Analyst 03/2019- 08/2021
- Streamlined inventory stock management by updating records through MS
Excel and Oracle EBS. - Projected future inventory requirements.
- Employed Oracle EBS to develop reports and perform data analysis.
- Applied data analytics for identifying and resolving supply chain concerns,
resulting in improved performance. - Reported on supply chain KPIs to verify compliance with established standards.
Education
Expected in 12/2027
Doctor of Engineering in Electrical & Computer Engineering
Morgan State University | Baltimore, MD
06/2023
Master of Science in Information Technology
Washington University of Science & Technology | Alexandria, VA
12/2016
Bachelor of Science in Electrical & Electronic Engineering
American International University - Bangladesh | Dhaka, Bangladesh
Accomplishments/Awards
Graduate Research Poster Presenter Winner (Spring 2024) Presented a custom-built Large Language Model GPT project at the Spring 2024 Symposium, Morgan State University. Demonstrated the model's capabilities in providing personalized academic guidance by analyzing course materials and offering tailored suggestions for students. Link Here...
Skills
Python
Specialist
Excel, PowerPoint, Outlook
Specialist
PyTorch, TensorFlow
Specialist
KNIME
Specialist
Supervised & Unsupervised Learning
Specialist
SQL & MySQL
Specialist
Arduino
Specialist
Windows, Linux
Specialist
Regression, Classification
Specialist
Splunk
Specialist
Deep Learning
Specialist
OpenCV, YOLO, DeepSORT
Specialist
Tableau
Specialist
R
Specialist
Microsoft 365
Specialist
Arduino & Raspberry Pi
Specialist
CERTIFICATIONS
Introductory Data Analytics (Tableau) by National FinTech Center
Technical Support Fundamentals by Google
The Bits and Bytes of Computer Networking by Google
Operating Systems and you: Becoming a Power User by Google
Introductory Data Science by IBM
Cisco Certified Network Associate
Microsoft Azure Fundamentals
About Me
Doctoral researcher and Human-AI Interaction Engineer at Morgan State University, specializing in machine learning and Large Language Models (LLMs). Developed multiple LLM-powered applications, including adaptive academic advisor systems fine-tuned with Human Feedback Reinforcement Learning (HFRL) for personalized guidance. At the Data Engineering and Predictive Analytics (DEPA) lab, I focus on building scalable AI solutions that bridge NLP and human-centered design. My current work integrates real-time sensor networks and machine learning pipelines for landslide prediction. My research advances Human-AI collaboration, emphasizing practical AI applications for education, safety, and environmental risk management.
EXPERIENCE
05/2025- Current
Research Intern – Landslide Risk Monitoring & ML P
University Transportation Center | Pittsburg, PA
- Installing geotechnical and environmental sensors (moisture, rain gauge,
water pressure transducers, wind speed, LiDAR) at a real-world highway
site to enable real-time landslide risk monitoring. - Developing a Python-based machine learning pipeline integrating
real-time sensor data with ML models for early landslide detection and
forecasting. - Processing 3D terrain data from the Realsee Galois M2 LiDAR camera,
converting point clouds (PLY/E57) for slope deformation analysis and
model training using Open3D and PyTorch.
09/2023- Current
Research Assistant
Data Engineering and Predictive Analytics (DEPA) Research lab | Baltimore, USA
- Developed multi-step agentic applications using Large Language Models
(LLMs) to create personalized academic advisor systems for educational
institutions. Utilized Human Feedback Reinforcement Learning (HFRL) to
iteratively fine-tune GPT models, incorporating user preferences and
interaction data to optimize alignment and response relevance. Focused on
enhancing adaptability and contextual accuracy based on individual
academic and career profiles. - Utilizing Large Language Models (LLMs) alongside time series analysis
techniques to detect and analyze anomalous patterns in system behavior,
enabling early identification of malicious activities and enhancing
cybersecurity threat response. - Worked as a TA (Teacher Assistant) with my research advisor, Dr. Kofi
Nyarko, for the course ‘Machine Learning Applications’ (EEGR 565).
05/2024- 07/2024
Graduate Mentor
CEAMLS Summer AI Research Institute | Baltimore, MD
- Mentored and supported a team of diverse undergraduate scholars from
different fields. - Provided expertise in leveraging OpenCV, YOLO, and Ultralytics to detect
key traffic violations, such as jaywalking and red-light running, improving the accuracy and scalability of the solution. - Supervised the SQL database architecture to store, manage, and query
video data. - Assisted in the preparation of graduate students for professional
conferences and presentations.
03/2019- 08/2021
Supply Chain Analyst
Navana LPG LTD | Dhaka, Bangladesh
- Streamlined inventory stock management by updating records through MS
Excel and Oracle EBS. - Projected future inventory requirements.
- Employed Oracle EBS to develop reports and perform data analysis.
- Applied data analytics for identifying and resolving supply chain concerns,
resulting in improved performance. - Monitor KPIs for compliance with established guidelines and standards.
Education
Expected in 12/2027
Doctor of Engineering in Electrical & Computer Engineering
Morgan State University | Baltimore, MD
06/2023
Master of Science in Information Technology
Washington University of Science & Technology | Alexandria, VA
12/2016
Bachelor of Science in Electrical & Electronic Engineering
American International University - Bangladesh | Dhaka, Bangladesh
Accomplishments
Graduate Research Poster Presenter Winner (Spring 2024)
Presented a custom-built Large Language Model GPT project at the Spring 2024 Symposium, Morgan State University.
Demonstrated the model's capabilities in providing personalized academic guidance by analyzing course materials and
offering tailored suggestions for students. Link Here...
Skills
Python
Specialist
Excel, PowerPoint, Outlook
Specialist
PyTorch, TensorFlow
Specialist
KNIME
Specialist
Supervised & Unsupervised Learning
Specialist
SQL & MySQL
Specialist
Arduino
Specialist
Windows, Linux
Specialist
Regression, Classification
Specialist
Splunk
Specialist
Deep Learning
Specialist
OpenCV, YOLO, DeepSORT
Specialist
Tableau
Specialist
R
Specialist
Microsoft 365
Specialist
Arduino & Raspberry Pi
Specialist
CERTIFICATIONS
Introductory Data Analytics (Tableau) by National FinTech Center
Intermediate Data Visualization Using Tableau: Bootcamp by Morgan State University
Building Generative AI-Powered Applications with Python by IBM
Technical Support Fundamentals by Google
The Bits and Bytes of Computer Networking by Google
Operating Systems and you: Becoming a Power User by Google
Microsoft Azure Fundamentals
Introductory Data Science by IBM
About Me
Doctoral researcher and Human-AI Interaction Engineer at Morgan State University, specializing in machine learning and Large Language Models (LLMs). Developed multiple LLM-powered applications, including adaptive academic advisor systems fine-tuned with Human Feedback Reinforcement Learning (HFRL) for personalized guidance. At the Data Engineering and Predictive Analytics (DEPA) lab, I focus on building scalable AI solutions that bridge NLP and human-centered design. My current work integrates real-time sensor networks and machine learning pipelines for landslide prediction. My research advances Human-AI collaboration, emphasizing practical AI applications for education, safety, and environmental risk management.
EXPERIENCE
05/2025- Current
Research Intern – Landslide Risk Monitoring & ML P
University Transportation Center | Pittsburg, PA
- Installing geotechnical and environmental sensors (moisture, rain gauge,
water pressure transducers, wind speed, LiDAR) at a real-world highway
site to enable real-time landslide risk monitoring. - Developing a Python-based machine learning pipeline integrating
real-time sensor data with ML models for early landslide detection and
forecasting - Processing 3D terrain data from the Realsee Galois M2 LiDAR camera,
converting point clouds (PLY/E57) for slope deformation analysis and
model training using Open3D and PyTorch
09/2023- Current
Research Assistant
Data Engineering and Predictive Analytics (DEPA) Research lab | Baltimore, USA
- Developed multi-step agentic applications using Large Language Models
(LLMs) to create personalized academic advisor systems for educational
institutions. Utilized Human Feedback Reinforcement Learning (HFRL) to
iteratively fine-tune GPT models, incorporating user preferences and
interaction data to optimize alignment and response relevance. Focused on
enhancing adaptability and contextual accuracy based on individual
academic and career profiles. - Utilizing Large Language Models (LLMs) alongside time series analysis
techniques to detect and analyze anomalous patterns in system behavior,
enabling early identification of malicious activities and enhancing
cybersecurity threat response. - Worked as a TA (Teacher Assistant) with my research advisor, Dr. Kofi
Nyarko, for the course ‘Machine Learning Applications’ (EEGR 565).
05/2024 - 07/2024
Graduate Mentor
CEAMLS Summer AI Research Institute | Baltimore, MD
- Mentored and supported a team of diverse undergraduate scholars from different fields.
- Provided expertise in leveraging OpenCV, YOLO, and Ultralytics to detect key traffic violations, such as jaywalking and red-light running, improving the accuracy and scalability of the solution.
- Supervised the SQL database architecture to store, manage, and query video data.
- Assisted in the preparation of graduate students for professional conferences and presentations.
03/2019 - 08/2021
Supply Chain Analyst
Navana LPG LTD | Dhaka, Bangladesh
- Streamlined inventory stock management by updating records through MS Excel and Oracle EBS.
- Projected future inventory requirements.
- Employed Oracle EBS to develop reports and perform data analysis.
- Professional Summary Skills Experience Applied data analytics for identifying and resolving supply chain concerns, resulting in improved performance.
- Monitor KPIs for compliance with established guidelines and standards.
Education
Expected in 12/2027
Doctor of Engineering in Electrical & Computer Engineering
Morgan State University | Baltimore, MD
06/2023
Master of Science in Information Technology
Washington University of Science & Technology | Alexandria, VA
12/2016
Bachelor of Science in Electrical & Electronic Engineering
American International University - Bangladesh | Dhaka, Bangladesh
Accomplishments
Graduate Research Poster Presenter Winner (Spring 2024)
Presented a custom-built Large Language Model GPT project at the Spring 2024 Symposium, Morgan State University.
Demonstrated the model's capabilities in providing personalized academic guidance by analyzing course materials and
offering tailored suggestions for students.Link Here...
Skills
Python
Specialist
PyTorch, TensorFlow
Specialist
Supervised & Unsupervised Learning, Transfer Learning
Specialist
Regression, Classification, and Deep Learning
Specialist
OpenCV, YOLO, DeepSORT
Specialist
SQL & MySQL
Specialist
Tableau
Specialist
R
Specialist
KNIME
Specialist
MATLAB
Specialist
Microsoft 365
Specialist
Windows, Linux
Specialist
Arduino & Raspberry Pi
Specialist